Distribution big data technology of active distribution Network based on edge computing

Wei Zhang, Tianjun Wang, Hao Wang
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引用次数: 1

Abstract

Aiming at the problems of cloud communication and storage congestion and computing delay caused by massive heterogeneous distribution data, a hierarchical architecture model of active distribution network based on edge computing was proposed. Firstly, the edge computing framework based on the functional architecture of industrial Internet is proposed, and the internal and external interaction modes of edge computing node data are specifically sorted out. According to the established data interaction modes, the interactive processing mechanism of cloud-edge collaboration is proposed. Then, according to the logical protocol and physical architecture of active distribution network, the hierarchical architecture model of active distribution network based on edge computing is established to collect, interact and monitor the operating status, operating environment and electricity quantity data of distribution equipment. Finally, based on big data technology, the typical application scenarios of edge computing technology in actual power distribution are analyzed, and the efficiency, real-time, security and accuracy of edge computation-based power distribution big data system for local data storage and processing are verified.
基于边缘计算的主动配电网配电大数据技术
针对海量异构分布数据导致的云通信和存储拥塞以及计算延迟等问题,提出了一种基于边缘计算的主动分布网络层次结构模型。首先,提出了基于工业互联网功能架构的边缘计算框架,并具体梳理了边缘计算节点数据的内外交互模式;根据已建立的数据交互模式,提出了云边缘协同的交互处理机制。然后,根据有源配电网的逻辑协议和物理结构,建立了基于边缘计算的有源配电网分层结构模型,对配电设备的运行状态、运行环境和电量数据进行采集、交互和监控;最后,基于大数据技术,分析了边缘计算技术在实际配电中的典型应用场景,验证了基于边缘计算的配电大数据系统对本地数据存储和处理的效率、实时性、安全性和准确性。
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